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Analysis of the MPAS Convective-Permitting Physics Suite in the Tropics with Different Parameterizations of Convection
Citation:
Fowler, L., M. Barth, M. Branson, AND D. Dazlich. Analysis of the MPAS Convective-Permitting Physics Suite in the Tropics with Different Parameterizations of Convection. Joint WRF and MPAS users' workshop 2018, Boulder, CO, June 12 - 15, 2018.
Impact/Purpose:
CED of the ORD/NERL has been involved in the next-generation air quality modeling and this works directly benefits such work. The new & next-generation science developed by the EPA scientist has been accepted by the NCAR and they (NCAR) spent their resources to implement our new science into the next-generation model benefitting CED and wider global community.
Description:
The atmospheric component of the Model for Prediction Across Scales (MPAS), the next-generation model hosts several parameterizations of deep convection, including a few that adapt to horizontal resolutions varying between nonhydrostatic and hydrostatic scales. Using uniform and variable-resolution meshes, we compare 30-day simulations run with the convective parameterization developed by Grell and Freitas (2014), the convective parameterization developed by Tiedtke (1989) and further modified by Wang et al. (2007), and the multi-scale version of the Kain-Fritsch convection parameterization (Alapaty et al. 2014). We also include the first results of our implementation of the scale-aware parameterization of convection developed by Chikira and Sugiyama (2010). As we plan to transition MPAS to a near-global convection-permitting model for seasonal timescale predictions, an improved understanding of the interactions between convective, gridscale,and radiation processes at non-hydrostatic scales and at long time-scales is needed. Using the 30 km-6 km variable-resolution mesh centered over the Western Tropical Pacific Ocean, we compare outputs of our 30-day simulations against satellite data over the most refined region of the mesh. Our results focus on the distribution of precipitation, cloudiness, and the top-of the-atmosphere radiation budget.
